간호대학생의 생명의료 윤리의식, 도덕적 민감성, 메타인지가 인공지능 윤리의식에 미치는 영향
Impact of Nursing Students' Biomedical Ethics Awareness, Moral Sensitivity, and Metacognition on Artificial Intelligence Ethics Awareness
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Abstract
Purpose: This study examined the relationship among biomedical ethics awareness, moral sensitivity, and metacognition on artificial intelligence ethics awareness in nursing students to identify the influencingfactors. Methods: The participants of this study were 198 nursing students at the three universities in the metropolitan area. The data from structured ques tionnaires were collected from 20 August to 21 September 2024. Descriptive statistics, independent tests, one-way ANOVA, Pearson's correlation coefficient test, and multiple regression were analyzed using the SPSS/WIN 22 program. Result: Artificial intelligence ethics awareness was correlated with biomedical ethics awareness (r=.17, p=.017), moral sensitivity (r=.39, p<.001), and metacognition (r=.44, p<.001). Metacognition (β=.32, p<.001) and moral sensitivity (β=.24, p=.001) significantly influenced the artificial intelligence ethics awareness of nursing students. These variables could ex plain 19.5% of the subjects' artificial intelligence ethics awareness (F=19.47, p<.001). Conclusion: Moral sensitivity and metacognition are needed to enhance nursing students' awareness of artificial intelligence ethics.
